bulk_update_issues · MCP GitHub Issue Priority Server MCP

WHAT IT DOES

What bulk_update_issues does on MCP GitHub Issue Priority Server

AI agents use bulk_update_issues to create or update resources in MCP GitHub Issue Priority Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP GitHub Issue Priority Server environment.

WHY IT NEEDS A POLICY

Why bulk_update_issues needs a policy

This tool creates or modifies data reversibly: adding/removing labels and reopening issues are reversible operations. The 'bulk' nature amplifies the impact (multiple issues affected at once), raising severity to 'high' despite reversibility. It does not permanently delete data (which would be Destructive) nor execute arbitrary code (which would be Execute).

From the tool's definition bulk_update_issues can 'Add/remove labels and close/reopen multiple issues at once' — modifies issue state (labels, open/closed status) across multiple GitHub issues

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

bulk_update_issues Rate-limited

bulk_update_issues stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "bulk_update_issues": {
      "limits": [
        {
          "counter": "bulk_update_issues_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches MCP GitHub Issue Priority Server, so you can run agents against it safely.

FAQ

Questions about bulk_update_issues

What does the bulk_update_issues tool do? +

Add/remove labels and close/reopen multiple issues at once. It is categorised as a Write tool in the MCP GitHub Issue Priority Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on bulk_update_issues? +

Register the MCP GitHub Issue Priority Server MCP server in PolicyLayer and add a rule for bulk_update_issues: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches MCP GitHub Issue Priority Server. Nothing to install.

What risk level is bulk_update_issues? +

bulk_update_issues is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit bulk_update_issues? +

Yes. Add a rate_limit block to the bulk_update_issues rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block bulk_update_issues completely? +

Set action: deny in the PolicyLayer policy for bulk_update_issues. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides bulk_update_issues? +

bulk_update_issues is provided by the MCP GitHub Issue Priority Server MCP server (steiner385/mcp-git-issue-priority). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.